Inferring activity changes of transcription factors by binding association with sorted expression profiles

Chao Cheng^*¹ , Xiting Yan^*¹ , Fengzhu Sun¹^,2 and Lei M Li¹^,2

¹Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA

²Department of Mathematics, University of Southern California, Los Angeles, CA, 90089-2532, USA

author email corresponding author email* Contributed equally

BMC Bioinformatics 2007, 8:452doi:10.1186/1471-2105-8-452


Published:	16 November 2007

Additional files

Additional file 1:

AC scores and their significance for perturbed TFs in deletion TFPEs.

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Additional file 2:

AC scores and their significance for perturbed TFs in over-expression TFPEs.

Format: XLS Size: 30KB Download file

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Additional file 3:

Significance of TF activity changes in deletion TFPEs inferred by using Tsai et al.'s method [8].

Format: XLS Size: 24KB Download file

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Additional file 4:

Significance of TF activity changes in over-expression TFPEs inferred by using Tsai et al.'s method [8].

Format: XLS Size: 26KB Download file

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Additional file 5:

AC scores and their significance for the 537 motifs in the long-lived mutants. These motifs are identified from promoter regions of all yeast transcripts by Beer et al. [24].

Format: XLS Size: 148KB Download file

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